Elastic Security launches two new AI features to enhance corporate security

Elastic Security has announced the general availability of two new AI-based features: Attack Discovery and Automatic Import. These widely adopted solutions promise to revolutionize corporate security operations, reducing attack response times and improving operational efficiency.

Attack Discovery: turning alerts into concrete actions

Attack Discovery, launched in May, is one of the most appreciated features. According to a recent Enterprise Strategy Group study, a customer used this solution to turn 1,018 alerts into just 8 actionable discoveries. This represents a significant improvement in operational efficiency, allowing security teams to focus on what really matters.

The ability of Attack Discovery to turn SIEM alerts into a clear and actionable view of ongoing attacks allows teams to respond with greater precision and speed. This not only strengthens corporate defenses but also reduces overall risk.

Automatic Import: simplifying data onboarding

Automatic Import, launched in August, is the most advanced solution of its kind. This solution allows you to create and validate custom data integrations in just a few minutes, saving security practitioners hours of work. Automatic Import enables teams to easily extend visibility across the entire attack surface.

The integration with AI Assistant for Security

Together, Automatic Import and Attack Discovery integrate with AI Assistant for Security, bringing security operations into the era of generative AI. This natural language-based sidekick offers an additional level of support, allowing organizations to detect patterns and crucial information more efficiently.

The power of Retrieval Augmented Generation (RAG)

The Elasticsearch platform is unique in its application of Retrieval Augmented Generation (RAG), a technology that improves the accuracy and relevance of LLM responses thanks to organizational context. This capability is the foundation of Elastic Security's AI features.

Thanks to their construction on RAG, Automatic Import and Attack Discovery can always extract accurate and timely contexts, regardless of the LLM used. This allows security teams to choose the best LLM model based on their specific needs, without worrying about costs, speed, accuracy, or privacy.

Integration with leading LLM models

Elastic Security natively integrates with the most popular LLM models, including Google Cloud’s Gemini 1.5 Pro 002 and Gemini Flash 1.5 002, Anthropic’s Claude, and the GPT-4 family from OpenAI. For a detailed overview of LLM options and their performance, you can consult the performance matrix on Elastic.

Free trial of AI features

The new AI features of Elastic Security are available for a free trial. Automatic Import and Attack Discovery can be tested for two weeks, allowing organizations to discover how these solutions can improve their security. Registration is simple and quick through Elastic Cloud Serverless.

Privacy and security considerations

The use of generative artificial intelligence tools involves risks to the privacy and security of data. Elastic advises caution when using these tools with personal, sensitive, or confidential information. Each user should familiarize themselves with the privacy practices and terms of use of artificial intelligence tools before using them.

The impact of Elastic Security on security teams

The new AI features of Elastic Security are revolutionizing the way security teams operate on a daily basis. According to James Spiteri, Director of AI and Advanced Analytics for Elastic Security, these solutions not only improve operational efficiency but also offer fast and intuitive learning. "Building a security solution based on Search AI allows us to share incredible capabilities that represent the best of what AI can offer to security professionals," says Spiteri.

The importance of transparency and openness

One of the distinctive aspects of Elastic Security is its transparent and open approach to AI technologies. The platform allows organizations to choose the LLM model best suited to their specific needs, ensuring flexibility and complete control over data. This philosophy is reflected in all the AI features offered, making Elastic Security a reliable choice for companies seeking advanced security solutions.

The future of security operations with generative AI

The integration of AI Assistant for Security represents a fundamental step towards the era of generative AI in security operations. This natural language-based "sidekick" not only simplifies interactions with security data but also opens new possibilities for predictive analysis and proactive threat management. Organizations can now discover crucial patterns and information more efficiently than ever, significantly improving their defensive capabilities.

The importance of a free trial

The opportunity to test Automatic Import and Attack Discovery for free for two weeks offers organizations a unique chance to concretely evaluate the benefits of these solutions. This trial period allows security teams to directly experience how these technologies can improve their daily operations, without long-term commitment. Registration through Elastic Cloud Serverless is simple and quick, making access to AI features even more convenient.

The challenges of adopting AI in security

Despite the numerous advantages, the adoption of AI technologies in security presents significant challenges. Integration with third-party LLM models requires careful management of dependencies and potential vulnerabilities. Elastic recognizes these risks and advises caution when using generative artificial intelligence tools with sensitive information. Each organization should carefully evaluate its own security and privacy needs before adopting these technologies.

The role of the community in the development of Elastic Security

Elastic Security benefits from an active community of developers and users who continuously contribute to the improvement of the platforms. This collaborative approach allows for the rapid identification of new threats and the development of innovative solutions to address them. Transparency in data management and openness to new integrations are fundamental aspects that make Elastic Security a preferred choice for many organizations.

Future prospects for AI integration

As the adoption of AI in security continues to evolve, Elastic Security positions itself as a leader in providing cutting-edge solutions. Current AI features represent just the beginning of a journey that will see further innovations in the field of cybersecurity. The company is committed to maintaining an open and transparent approach, ensuring that its solutions remain aligned with the continuously evolving needs of the sector.

Data security in the era of generative AI

With the increasing use of generative artificial intelligence tools, data protection has become an absolute priority. Elastic Security offers advanced tools to ensure that sensitive information is handled securely, but each organization must adopt additional measures to protect its data. This includes staff training, the implementation of rigorous security policies, and the continuous assessment of risks associated with the use of AI technologies.

Conclusions

The new AI features of Elastic Security represent a significant step towards the future of security operations. With Automatic Import and Attack Discovery, organizations can significantly improve their ability to detect and respond to threats while reducing the workload for security teams. The free trial offers an ideal opportunity to explore these technologies and evaluate their concrete benefits. However, it is essential to approach the adoption of AI with caution, carefully considering the implications for data privacy and security.

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